Building a 35-Agent AI Coding Swarm That Runs Overnight
The author built an autonomous system that scans a project management board, creates isolated git worktrees, spawns AI coding sessions, writes code, and submits pull requests - all without human intervention.
Why it matters
This demonstrates the potential for AI-powered automation to revolutionize software development workflows, reducing the need for manual human effort.
Key Points
- 1Developed a 35-agent AI coding system that runs on two physical machines on a home network
- 2The system automates the full CI/CD pipeline, from ticket intake to deployment, using AI agents
- 3The architecture has three layers: Ops Runner for infrastructure health monitoring, Directors for task routing and AI coding, and Workers for executing the coding tasks
Details
The author describes building a system with 14 containers and 35 concurrent AI coding sessions that can process 20-40 tickets overnight without human intervention. The system is built on two physical machines - a Linux desktop and a Mac Studio - connected over a local network. It has a three-layer architecture: the Ops Runner layer monitors infrastructure health and metrics, the Directors layer scans the project management board, routes tickets to the correct repositories, and spawns the AI coding sessions, and the Workers layer executes the coding tasks. The author notes that this autonomous pipeline is similar to the CI/CD diagrams they used to design for human teams a decade ago, but now it's all encoded in software and running on just two machines.
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